Hidden Markov Models: Applications in Computer Vision

by Bunke, Horst; Caelli, Terry

• ISBN13: 9789810245641
• ISBN10: 9810245645
• Format: Hardcover
• Copyright: 2001-06-01
• Publisher: World Scientific Pub Co Inc

Summary

A collection of articles on new developments in the theory of hidden Markov models and their applications in artificial intelligence and computer science. Topics covered include handwriting recognition, shape recognition, face and gesture recognition, and tracking.

Table of Contents

Preface	1	(4)
H. Bunke
T. Caelli
Introduction: A Simple Complex in Artificial Intelligence and Machine Learning	5	(4)
B. H. Juang
An Introduction to Hidden Markov Models and Bayesian Networks	9	(34)
Z. Ghahramani
Multilingual Machine Printed OCR	43	(22)
P. Natarajan
Z. Lu
R. Schwartz
I. Bazzi
J. Makhoul
Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System	65	(26)
U.-V Marti
H. Bunke
A 2-D HMM Method for Offline Handwritten Character Recognition	91	(16)
H.-S. Park
B.-K. Sin
J. Moon
S.-W. Lee
Data-Driven Design of HMM Topology for Online Handwriting Recognition	107	(16)
J. J. Lee
J. Kim
J. H. Kim
Hidden Markov Models for Modeling and Recognizing Gesture Under Variation	123	(38)
A. D. Wilson
A. F. Bobick
Sentence Lipreading Using Hidden Markov Model with Integrated Grammar	161	(16)
K. Yu
X. Jiang
H. Bunke
Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model	177	(20)
H. H. Bui
S. Venkatesh
G. West
Shape Tracking and Production Using Hidden Markov Models	197	(26)
T. Caelli
A. McCabe
G. Briscoe
An Integrated Approach to Shape and Color-Based Image Retrieval of Rotated Objects Using Hidden Markov Models	223
S. Muller
S. Eickeler
G. Rigoll